Title :
In vivo oriented modeling with consideration of intracellular crowding
Author :
Hiroi, Noriko ; Iba, Keisuke ; Tabira, Akito ; Okuhara, Takahiro ; Kubojima, Takeshi ; Hiraiwa, Takumi ; Kobayashi, Tetsuya J. ; Oka, K. ; Funahashi, Atsushi
Author_Institution :
Dept. of Biosci. & Inf., Keio Univ., Yokohama, Japan
Abstract :
In vivo reaction space is constrained by complex structures which are made of entwined cytoskeletons and organelles; this create the difference between in vivo and in vitro in respect of molecular mobility, and it may affect reaction processes. Our motivation is to reveal the background mechanisms of the properties of molecular behaviors in vivo by numerical approach. For this object, we reassembled a pseudo-intracellular environment in 3D lattice space, and executed Monte Carlo simulation. By changing the relative amount of non-reactive obstacles in the simulation space, we tested the effect of the level of crowdedness to the molecular mobility and reaction processes. Our results showed that molecules demonstrated anomalous diffusion correlating to the restriction level of the reaction space. Reaction processes also showed distinct characteristics, that is increase of reaction rate at the beginning of reactions, with the decrease of the reaction rate at later time frame of reactions. Our results suggested that the anomalous behaviors at singe molecule level in vivo could bring an essential difference to the reaction processes and the results.
Keywords :
Monte Carlo methods; biochemistry; biodiffusion; bone; microorganisms; orthopaedics; reaction rate constants; 3D lattice space; Monte Carlo simulation; anomalous diffusion correlation; background mechanisms; complex structures; crowdedness level; entwined cytoskeletons; in vitro difference; in vivo difference; in vivo oriented modeling; in vivo reaction space; intracellular crowding; molecular behavior in vivo; molecular mobility; nonreactive obstacles; numerical approach; organelles; pseudointracellular environment; reaction processes; singe molecule level in vivo; Biochemistry; Biological system modeling; In vivo; Lattices; Monte Carlo methods; Physiology; Substrates;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610101